Skip to main content
. 2015 Sep 15;16:289. doi: 10.1186/s12859-015-0689-7

Table 2.

Finite Mixture Model (FMM): parameter estimates

Component #1 Component #2 Component #3
μ(IGF1-Ea)k 0.8420 0.8443 0.6772
μ(IGF1-Eb)k 0.1468 0.1166 0.2992
σ2 (IGF1-Ea)k 0.0016 0.0023 0.0011
σ2 (IGF1-Eb)k 0.0013 0.0006 0.0018
σ(Ea, Eb)k −0.0014 −0.0011 −0.0014
ρ(Ea, Eb)k −0,9884 −0,9827 −0,9878
πk 0.68322399 0.22616579 0.09061023

Finite Mixture Model (FMM): parameter estimates for the component specific means (μ), variances/covariances (σ), correlations (ρ) and prior probabilities (π)